ISE332

Course

ISE332

Title

Introduction to Visualization

Credits

3

Course Coordinator

Klaus Mueller

Description

This course is an introduction to both the foundations and applications of visualization and visual analytics, for the purpose of understanding complex data in science, medicine, business, finance, and many others. It will begin with the basics - visual perception, cognition, human-computer interaction, the sense-making process, data mining, computer graphics, and information visualization. It will then move to discuss how these elementary techniques are coupled into an effective visual analytics pipeline that allows humans to interactively think with data and gain insight. Students will get hands-on experience via several programming projects, using popular public-domain statistics and visualization libraries and APIs. This course is offered as both CSE 332 and ISE 332.

Prerequisite

CSE 214 or CSE 260; MAT 211 or AMS 210; AMS 310

Course Outcomes

An ability to transform numerical datasets from science and medicine into understandable visual representations.

An understanding of the issues associated with digital image quality (e.g. sampling artifacts) and algorithms for performing basic image manipulation operations such as filtering, re-sampling, and intensity transformation.

Working knowledge of methods (including graphical user interfaces) for the visualization of three-dimensional data sets.